The course provides an overview of the main experimental techniques employed in condensed matter physics, with emphasis on sample preparation, structural, microscopic, spectroscopic, and optical characterization methods, as well as on experimental de

The course will start with the general principles of data analysis and explore fundamental techniques and their applications in various scientific contexts. Topics will include statistical analysis methods, modeling, and data interpretation, with a p

Fundamental physics course for astrophysical applications.
Introduction to plasma physics and astrophysical applications; magnetohydrodynamics; radiative transport, main astrophysical processes.

The main objectives of the course Physics Laboratory I are the learning of the physical principles governing the interaction between electromagnetic radiation or particles and matter, the operating principles of particle sources and detectors, as wel

General objective of the course is to familiarise with advanced deep learning techniques based on differentiable neural network models with different learning paradigms; to acquire skills in modelling complex problems, through deep learning technique

The aim of this course is to provide a description of the physical processes and astrophysical observations which underlie our present understanding of the formation and evolution of galaxies.

Corso di fisica fondamentale per applicazioni astrofisiche. 
Introduzione al plasma e applicazioni astrofisiche; magnetoidrodinamica; richiami di relatività ristretta; trasporto radiativo, principali processi astrofisici.

This is the elearning page of the first part of the course of Mathematical Physics, mainly focused on the study of models arising in fluid mechanics and kinetic theory.

Introduction to advanced aspects of Relativistic Quantum Field Theory

General objective of the course is to familiarise with advanced deep learning techniques based on differentiable neural network models with different learning paradigms; to acquire skills in modelling complex problems, through deep learning technique

The course will mainly focus on: - mean-field methods to treat electron-electron interactions- magnetism- transport theory (Boltzmann equation)

COMPUTATIONAL BIOPHYSICS (CB_23_24) SYLLABUS doing physical  biology with models and computers: from the Born-Oppenheimer approximation to molecular dynamics; from the space of biological sequences to integrative modelling of syst

The goal of the course is to provide the students with the theoretical background and the hands-on experience of two numerical approaches to treat the quantum-many body problem in condensed matter: (a) Density Functional Theory, i.e. the current â

Corso di fisica fondamentale per applicazioni astrofisiche. 
Introduzione al plasma e applicazioni astrofisiche; magnetoidrodinamica; richiami di relatività ristretta; trasporto radiativo processi astrofisici.

Obiettivi dell'insegnamento Lo studente che segue proficuamente il corso sviluppa una conoscenza dei metodi principali per la risoluzione numerica di equazioni differenziali ordinarie e alle derivate parziali, che sono alla base dei meccanismi fisic

Physics Laboratory II Curriculum Biosystems docente: Alessandro Nucara

Lezioni: 11-13 Aula 2 N.E. Fisica